Southern Hemisphere Lamb Weather Types from historical GCM experiments and various reanalyses

This dataset comprises six-hourly Lamb Weather Type (LWT) time series covering the period 1979-2005 for a) historical experiments run with 61 distinct GCMs from CMIP5 and 6 (specified in "get_historical_metadata.py" published at https://doi.org/10.5281/zenodo.4555367) and b) 3 distinct reanalyses (ERA-Interim, JRA-55 and ERA5, the latter extended to 2020). The LWT time series are provided on a 2.5º regular latitude-longitude grid covering the southern hemisphere between 30ºS and 70ºS. The full LWT approach covering 27 classes is applied and the corresponding results for the Northern Hemisphere were stored in a companion dataset at https://doi.org/10.5281/zenodo.4452080. The format of the files is netCDF-4, compressed with the netCDF Kitchen Sink command "ncks -4 -L 1". The Python code used to generate this dataset is available from https://doi.org/10.5281/zenodo.4555367

Note

The LWT_SH.zip file contains all relevant data. Please ignore the separate netCDF files outside this zip file. These are old files that could not be deleted during the update from version 1 to 2 due to technical issues with Zenodo.

Historial

Version 2 is a major dataset update featuring the following improvements:

1. The attributes from the netCDF source files "psl...nc" obtained from ESGF were copied into the files available here. These attributes are indicated with the prefix "udata...." (for "underlying data").

2. All non-standard calenders from the underlying netCDF files from ESGF were converted into standard using the "xarray.Dataset.convert_calendar" function. The original calendar information was stored as additional netCDF attribute.

3. The "patch" method from Python's xesmf module was used to regrid the original psl data from the native GCM grid available from ESGF to the regular lat-lon 2.5° grid common to all applied GCMs and reanalyses.

contact: Swen Brands, brandssf@ifca.unican.es

Principal Research Articles, Software and Complementary Datasets Associated with this Dataset

Brands, S. (2022). A circulation-based performance atlas of the CMIP5 and
6 models for regional climate studies in the Northern Hemisphere mid-to-
high latitudes. Geoscientific Model Development, 15 (4), 1375–1411.
doi: https://doi.org/10.5194/gmd-15-1375-2022

Brands, S. (2022). A circulation-based performance atlas of the CMIP5 and 6 mod-
els for regional climate studies in the northern hemisphere [data set]. Zenodo.
doi: https://doi.org/10.5281/zenodo.4452080

Brands, S. (2022). Common error patterns in the regional atmospheric circulation
simulated by the CMIP multi-model ensemble. Geophysical Research Letters,
49 (23), e2022GL101446. doi: https://doi.org/10.1029/2022GL101446

Brands, Swen, Tatebe, Hiroaki, Danek, Christopher, Fernández, Jesús, Swart, Neil C., Volodin, Evgeny, Kim, YoungHo, Collier, Mark, Bi, Dave, & Tongwen, Wu. (2022). Python code to calculate Lamb circulation types derived from historical CMIP simulations and reanalysis data. In Geoscientific Model Development: Vols. gmd-2020-418 (Version 4). Zenodo. https://doi.org/10.5281/zenodo.6390256

Brands, S., Fernández-Granja, J. A., Bedia, J., Casanueva, A., & Fernández,
J. (2023). Auxiliary online material to Brands et al. (2023): A global
climate model performance atlas for the Southern Hemisphere extratrop-
ics based on regional atmospheric circulation patterns. figshare. doi:
https://doi.org/10.6084/m9.figshare.22193443.v1

Brands, S., Fernández-Granja, J. A., Bedia, J., Casanueva, A., & Fernández,
J. (2023b). Southern Hemisphere Lamb Weather Types from historical
GCM experiments and various reanalyses (1.0) [data set]. Zenodo. doi:
https://doi.org/10.5281/zenodo.7612988

Brands, S., Tatebe, H., Danek, C., Fernández, J., Swart, N., Volodin, E., . . . Tong-
wen, W. (2023). GCM metadata archive get historical metadata.py (v1.1).
Zenodo. doi: https://doi.org/10.5281/zenodo.7715383

Fernández-Granja, J. A., Brands, S., Bedia, J., Casanueva, A., & Fernández, J.
(2023). Exploring the limits of the Jenkinson–Collison weather types clas-
sification scheme: a global assessment based on various reanalyses.
Climate Dynamics. doi: 10.1007/s00382-022-06658-7

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